What you'll do
- Strengthen and maintain our data infrastructure using DevOps best practices, ensuring optimal scalability, reliability, and security.
- Improve our development and CI/CD workflows to provide a top notch dev experience to data practitioners across the company.
- Build, test, document, and deploy reliable data pipelines, working with diverse data sources such as Snowflake, ClickHouse, Postgresql, S3 (CSV, Parquet, spreadsheets), and SaaS platforms
- Proactively contribute to the evolution of our Internal Data Platform by proposing new ideas and exploring innovative tech tools. Our Platform is a critical product used by multiple departments across the company.
- Effectively communicate and collaborate with a broad audience, tailoring your message to individuals with varying levels of technical expertise.
What you'll need to succeed
- 3+ years DevOps experience with at least 2+ years in production with kubernetes
- Proficiency in Python and SQL
- Knowledge of Data Orchestration solutions (Airflow, Dagster …)
- Cloud computing and Data Lake/Warehousing Management
- ELTs (“Extract Load Transform”) => EL tools & T tools (e.g. Fivetran, dbt)
- Strong strategic thinking skills, demonstrating an understanding of analytics needs in the business domain and proposing appropriate technical solutions.
- Autonomy and excellent people and time management skills to efficiently prioritize tasks and collaborate effectively within a distributed team.
- Ability to think outside the box, exhibiting a knack for finding the most suitable tech solutions to complex problems.
- Effective communication skills to engage with a diverse audience, including both technical and non-technical stakeholders.
- Knowledge of multi-threading, concurrency, and parallel processing technologies.
- Professional English (our team is international)
What makes you stand out
- Experience in administering data systemsPrior experience in building and launching a real product, either professionally or personally.
- Previous work experience in a scale-up environment, handling rapid growth and evolving challenges.
- Production experience with any of: AWS, dbt, Snowflake, Dagster
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